Meng Zhang

Orcid: 0000-0003-2188-8195

Affiliations:
  • Southeast University, College of Electronic Science and Engineering, Nanjing, China


According to our database1, Meng Zhang authored at least 29 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Fast Constraints Tuning via Transfer Learning and Multiobjective Optimization.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., September, 2024

An analysis of TinyML@ICCAD for implementing AI on low-power microprocessor.
Sci. China Inf. Sci., 2024

2023
Speeding-up and compression convolutional neural networks by low-rank decomposition without fine-tuning.
J. Real Time Image Process., August, 2023

Detecting Anomalous Solder Joints in Multi-sliced PCB X-ray Images: A Deep Learning Based Approach.
SN Comput. Sci., May, 2023

Uint-Packing: Multiply Your DNN Accelerator Performance via Unsigned Integer DSP Packing.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022
An Efficient Sharing Grouped Convolution via Bayesian Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

OGCNet: Overlapped group convolution for deep convolutional neural networks.
Knowl. Based Syst., 2022

Efficient binary 3D convolutional neural network and hardware accelerator.
J. Real Time Image Process., 2022

SCWC: Structured channel weight sharing to compress convolutional neural networks.
Inf. Sci., 2022

Efficient depthwise separable convolution accelerator for classification and UAV object detection.
Neurocomputing, 2022

Efficient channel expansion and pyramid depthwise-pointwise-depthwise neural networks.
Appl. Intell., 2022

An Efficient FPGA Implementation for Real-Time and Low-Power UAV Object Detection.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

A fast parameter tuning framework via transfer learning and multi-objective bayesian optimization.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021
Micro-Doppler Signature-Based Detection, Classification, and Localization of Small UAV With Long Short-Term Memory Neural Network.
IEEE Trans. Geosci. Remote. Sens., 2021

Efficient densely connected convolutional neural networks.
Pattern Recognit., 2021

2020
Cooperative positioning for emergency responders using self IMU and peer-to-peer radios measurements.
Inf. Fusion, 2020

Robust deep auto-encoding Gaussian process regression for unsupervised anomaly detection.
Neurocomputing, 2020

Deep Learning Based Defect Detection for Solder Joints on Industrial X-Ray Circuit Board Images.
Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020

2019
A Robust Phase-Ambiguity-Immune DOA Estimation Scheme for Antenna Array.
IEEE Trans. Veh. Technol., 2019

A survey of data fusion in smart city applications.
Inf. Fusion, 2019

Recent advances in convolutional neural network acceleration.
Neurocomputing, 2019

PSDNet and DPDNet: Efficient channel expansion, Depthwise-Pointwise-Depthwise Inverted Bottleneck Block.
CoRR, 2019

Feature Learning and Analysis for Cleanliness Classification in Restrooms.
IEEE Access, 2019

Radio Spectrum Occupancy Measurement from 30MHz-1030MHz in Pakistan.
Proceedings of the UK/China Emerging Technologies, 2019

2018
Energy Management for Renewable Microgrid in Reducing Diesel Generators Usage With Multiple Types of Battery.
IEEE Trans. Ind. Electron., 2018

Electricity Theft Detection Using Generative Models.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

2017
Blind Equalization of Constant Modulus Signals Based on Gaussian Process for Classification.
Wirel. Pers. Commun., 2017

Delay-cost tradeoff for virtual machine migration in cloud data centers.
J. Netw. Comput. Appl., 2017

2016
Image Arbitrary-Ratio Down- and Up-Sampling Scheme Exploiting DCT Low Frequency Components and Sparsity in High Frequency Components.
IEICE Trans. Inf. Syst., 2016


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